IMS Lecture Notes - Monograph Series

IMS Lecture Notes - Monograph Series

Series information

Empirical Processes

This monogragh presents a thorough and detailed description of the topics in the area of empirical processes. Several portions of the material are new and high-quality research that should be of interest to researchers and graduate students in probability, statistics, and mathematics.

Inequalities in Statistics and Probability

This volume contains 30 research papers, some of them concentrating on models in fields of application in which inequalities are of particular value since exact results are not available. Edited by Y. L. Tong.

The Likelihood Principle

This monograph presents a discussion and generalization of the likelihood principle and examines its implications for statistical inference.

Approximate Computation of Expectations

This monograph presents and abstract approach to the approximate computation of expectations.

Fundamentals of Statistical Exponential Families

This monograph presents a systematic treatment of the analytical an probabilistic properties of exponential families.

Group Representations in Probability and Statistics

These expanded lecture notes delve into the uses of group theory, particularly non-communicative Fourier analysis, in probability and statistics.

Small Sample Asymptotics

This monograph provides coherent development of the ideas and techniques of small sample asymptotics. The authors aim to obtain asymptotic expansions which give accurate results for small sample sizes n, even down to n=1.

Stochastic Inequalities

This volume is a collection of papers based on the lectures given at the joint IMS-ASA-SIAM Summer Research Conference on Stochastic Inequalities, July 1991. Edited by Moshe Shaked and Y. L. Tong.

Multivariate Analysis and Its Applications

This volume, based on an International Symposium held at Hong Kong Baptist College in 1992, presents work of many major figures in the theory of Multivariate Analysis and Highlights important recent trends in applications. Edited by T. W. Anderson, K. T. Fang and I. Olkin.

Adaptive Designs

This volume contains 20 papers whose topics include two-arm clinical trials, adaptive dose-response designs for quantile estimation and maximizing survival in the presence of opposing hazard functions, linear models, multinomial models, quality control and group testing. Edited by Nancy Flournoy and William F. Rosenberger.

Bayesian Robustness

This volume contains the Proceedings of the Second International Workshop on Bayesian Robustness held in Rimini, Italy, from May 22-25, 1995. With fourteen invited papers (with Discussion) and seven contributed papers, all refereed, this volume spans a variety of topics including the latest theoretical developments, methodology and applications. Among the topics are: hierarchical models, model selections, clinical trials, large sample theory, time series, and speech and audio signal analysis, all treated in the context of robustness. Edited by J. O. Berger, B. Betro, E. Moreno, L. R. Pericchi, F. Ruggeri, G. Slinetti, and L. Wasserman.

Details Books
Charles Stein Approximate Computation of Expectations
Christopher Field, Elvezio Ronchetti Small Sample Asymptotics
J. O. Berger, B. Betro, E. Moreno, L. R. Pericchi, F. Ruggeri, G. Slinetti, L. Wasserman Bayesian Robustness
James O. Berger, Robert L. Wolpert The Likelihood Principle
Lawrence D. Brown Fundamentals of Statistical Exponential Families
Moshe Shaked, Y. L. Tong Stochastic Inequalities
Nancy Flournoy, William F. Rosenberger Adaptive Designs
Persi W. Diaconis Group Representations in Probability and Statistics
Peter Gänssler Empirical Processes
T. W. Anderson, K. T. Fang, I. Olkin Multivariate Analysis and Its Applications
Y. L. Tong Inequalities in Statistics and Probability